Back office ops · Production
Claude Code: Behind-the-scenes of the master agent loop
The problem
Building a reliable, controllable coding agent requires architectural discipline to avoid the complexity and chaos of uncontrolled multi-agent systems.
Workflow diagram · grounded in source
1
User request arrives
trigger
“user input arrives → the model analyzes and decides on actions”
2
TODO list planning
ai_action
“Claude Code's first move is often to call TodoWrite, creating a structured JSON task list with IDs, content, status, and priority levels. This isn't just internal bookkeeping—the UI renders these as interactive checklists, giving users v…”
3
Tool execution loop
ai_action
“The core pattern is beautifully minimal: while(tool_call) → execute tool → feed results → repeat”
4
Real-time user steering
human_review
“ability to incorporate user interjections mid-task without requiring a full restart”
5
Sub-agent dispatch
routing
“Claude can invoke sub-agents through the dispatch_agent tool (internally called I2A/Task Agent). These sub-agents operate with depth limitations—they cannot spawn their own sub-agents, preventing recursive explosion.”
6
Context compression
ai_action
“Compressor wU2 automatically triggers at approximately 92% context window usage to summarize conversations and move important information to long-term storage”
7
Final answer output
output
“when Claude produces a plain text response without tool calls, the loop naturally terminates, awaiting the next user input”
Reported outcome
Claude Code creates a controllable, transparent coding agent that helps developers write better code faster, with adoption so high that Anthropic added weekly usage limits.
Reported stack
Claude Codeh2AStreamGenToolEngineViewLSGlobGrepToolripgrepEditWrite/ReplaceBashWebFetchNotebookRead/EditBatchToolTodoWritedispatch_agentI2ACLAUDE.mdVS Code
Source
https://blog.promptlayer.com/claude-code-behind-the-scenes-of-the-master-agent-loop/
Read source ↗Frequently asked questions
What did this team achieve with this AI workflow?
Claude Code creates a controllable, transparent coding agent that helps developers write better code faster, with adoption so high that Anthropic added weekly usage limits.
What tools did this team use?
Claude Code, h2A, StreamGen, ToolEngine, View, LS, Glob, GrepTool, ripgrep, Edit.
How is this back office ops AI workflow structured?
User request arrives → TODO list planning → Tool execution loop → Real-time user steering → Sub-agent dispatch → Context compression → Final answer output.